LiveKit Agents

Open-source framework for building real-time, multimodal voice and video AI agents.

4.5 (6)

리뷰어 Daniel Nikulshyn·업데이트됨 2026년 5월

Framework Open Source SDK Real-Time Voice AI Multimodal Developer Tools WebRTC

개요

LiveKit Agents is a developer framework for creating AI applications that interact with users in real time through speech, vision, and text. Built on top of LiveKit's WebRTC infrastructure, it handles the low-latency media plumbing needed for natural conversational experiences, letting developers focus on agent logic rather than streaming pipelines. The framework supports integrations with major speech-to-text, text-to-speech, and large language model providers, and it can orchestrate turn-taking, interruptions, and tool use. Typical use cases include voice assistants, AI phone agents, live tutors, customer support bots, and interactive avatars that can perceive their environment through audio and video.

주요 기능

Real-time voice, video, and text agent orchestration
WebRTC-based streaming infrastructure
Pluggable model providers for STT, LLM, and TTS
Built-in interruption and turn detection
Tool and function calling support
SDKs for Python and Node.js

사용 사례

Build Real-Time Voice Assistants

Create conversational voice assistants that handle natural turn-taking and interruptions, using pluggable STT, LLM, and TTS providers over a low-latency WebRTC pipeline.

AI Phone Agents for Customer Support

Deploy AI-powered phone agents that answer calls, resolve customer queries, and trigger backend actions through tool and function calling.

Interactive Live Tutors

Build multimodal tutoring agents that listen, speak, and see, enabling real-time back-and-forth instruction with students through voice and video.

Interactive AI Avatars

Power video-based avatars that perceive their environment via audio and vision, responding in real time for immersive conversational experiences.

장단점

장점

Open source with permissive licensing
Low-latency real-time audio and video pipeline
Flexible integrations with major LLM, STT, and TTS providers
Handles interruptions and turn-taking out of the box

단점

Requires developer expertise to deploy and customize
Self-hosting infrastructure adds operational overhead
Documentation can lag behind rapid feature updates

리뷰

4.5

6개 평가의 평균.

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Elena Rossi

Solid for our team

We rolled this out across the team last quarter and low-latency real-time audio and video pipeline. SDKs for Python and Node.js fits neatly into how we already work, and built-in interruption and turn detection removed a step we used to do by hand. but it has held up under daily use.

Esther Adeyemi

Does the job

Pretty happy overall. Tool and function calling support just works and flexible integrations with major LLM, STT, and TTS providers. Documentation can lag behind rapid feature updates can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Kwame Mensah

Does the job

Pretty happy overall. SDKs for Python and Node.js just works and handles interruptions and turn-taking out of the box. but no dealbreakers — I'd recommend it to a friend without hesitating.

Sofia Lindqvist

Does the job

Pretty happy overall. Pluggable model providers for STT, LLM, and TTS just works and open source with permissive licensing. Self-hosting infrastructure adds operational overhead can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Hannah Goldberg

Solid for our team

We rolled this out across the team last quarter and low-latency real-time audio and video pipeline. Tool and function calling support fits neatly into how we already work, and pluggable model providers for STT, LLM, and TTS removed a step we used to do by hand. but it has held up under daily use.

Daniel Schmidt

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on sDKs for Python and Node.js, and handles interruptions and turn-taking out of the box caught me off guard. Requires developer expertise to deploy and customize is why this isn't a perfect score, still, I'd recommend giving it a real trial.